Browser Use
Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.
제작자가 쓴 설명(영어 원문)
Bridge a live Chrome browser to your agent: 150 tools for capture, extraction, and observation.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"crawlio-browser": {
"command": "npx",
"args": [
"-y",
"crawlio-browser"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add crawlio-browser -- npx -y crawlio-browser프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"crawlio-browser": {
"command": "npx",
"args": [
"-y",
"crawlio-browser"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"crawlio-browser": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"crawlio-browser"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 도메인 crawlio.app 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.11.0)은 3개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Browser Use, Chrome DevTools MCP, MCP Server Browser
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.
MCP server for Chrome DevTools
MCP server for browser use access
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
MCP server that gives AI full control of a live Chrome browser via CDP. 150 tools with framework-aware intelligence, typed evidence infrastructure, tracking pixel analysis, technographic fingerprinting, SEO auditing, and confidence-tracked findings — captures what static crawlers can't see.
Use Crawlio Browser when your AI needs to interact with a real browser — SPAs, authenticated pages, dynamic content, JS-rendered frameworks. Unlike headless browser tools, Crawlio Browser connects to your actual Chrome via a lightweight extension, giving the AI access to your logged-in sessions, cookies, and full browser state.
Crawlio Browser vs headless browser tools: Headless tools launch a separate browser process. Crawlio Browser connects to your existing Chrome — no separate browser, no login flows, full access to your tabs and sessions.
[!WARNING]
This is the trade-off, stated plainly: connecting your own Chrome is the feature, and it means
an AI agent can act as you on every site you are logged into. It attaches Chrome's debugger to
the tab you connect, so it can read cookies, storage, and page content for that session.
Review what you connect it to. Prefer a dedicated Chrome profile for agent work. Nothing is
captured until you connect a tab, and you can see the exact tool surface before configuring
anything by running
npx crawlio-browser tools. Sites can opt out with
, which the extension honors.
npx crawlio-browser init
That's it. Auto-detects and configures 14 MCP clients: Claude Code, Cursor, VS Code, Codex, Gemini CLI, Claude Desktop, ChatGPT Desktop, Windsurf, Cline, Zed, Goose, OpenCode, MCPorter, and Cline CLI.
npx crawlio-browser init # Default: code mode, stdio transport
npx crawlio-browser init --full # Full mode (every tool exposed individually) npx crawlio-browser init --portal # Portal mode (persistent HTTP server) npx crawlio-browser init --cloudflare # Add Cloudflare MCP (89 tools, no wrangler) npx crawlio-browser init --dry-run # Show what would happen npx crawlio-browser init --yes # Skip prompts (CI / scripted installs) npx crawlio-browser init -a claude # Target specific MCP client
The package is also an Agent Plugins v1 plugin, so a conformant client can load it directly instead of running the wizard — plugin.json at the root, the eleven skills under skills/, and the MCP server declared in mcp.json.
The product-facing crawlio-* workflows are folded into the eleven shipped skills. The similarly named definitions in agents/ remain repo-local development fixtures: they import src/evidence/* and loops/*, neither of which is part of the npm runtime. They are excluded from package.json instead of advertising a second, non-executable product surface.
Point the client at the installed package:
node_modules/crawlio-browser # after `npm install crawlio-browser`
mcp.json resolves the server through ${PLUGIN_ROOT}/dist/mcp-server/index.js, which is why the plugin has to be an installed package rather than an unpacked tarball — the server imports its dependencies at runtime, so a bare extract starts and then dies without answering.
npx crawlio-browser tools # What code mode exposes (the default)
npx crawlio-browser tools --full # Every tool, individually npx crawlio-browser tools --json # Machine-readable, for diffing across versions npx crawlio-browser doctor # Bridge, portal, native host, client configs npx crawlio-browser --help # All commands and options npx crawlio-browser --version # Version only
Both are read-only and run without a browser, an extension, or a network connection — you can see the whole surface before you configure any client. The numbers come from the same builders the server registers, so they cannot disagree with what your client receives.
| Mode | Command / URL | Protocol | Best For |
|---|---|---|---|
| stdio | npx crawlio-browser | JSON-RPC over stdin/stdout | Claude Desktop, Cursor, Windsurf — client manages process lifecycle |
| Portal (HTTP) | POST http://127.0.0.1:3001/mcp | MCP Streamable HTTP | Claude Code, ChatGPT Desktop — server survives session restarts |
| Portal (SSE) | GET /sse + POST /message | Server-Sent Events | Legacy clients needing SSE transport |
Portal mode is recommended for Claude Code — the server persists across context compaction and session restarts. On macOS, --portal installs a launchd agent for auto-start on login.
Per-client manual config
Claude Desktop — add to claude_desktop_config.json:
{ "mcpServers": { "crawlio-browser": { "command": "npx", "args": ["-y", "crawlio-browser"] } } }
Claude Code (Portal Mode) — start npx crawlio-browser --portal, then add to .mcp.json:
{ "mcpServers": { "crawlio-browser": { "type": "http", "url": "http://127.0.0.1:3001/mcp" } } }
Claude Code (stdio):
claude mcp add crawlio-browser -- npx -y crawlio-browser
Cursor — add to .cursor/mcp.json:
{ "mcpServers": { "crawlio-browser": { "command": "npx", "args": ["-y", "crawlio-browser"] } } }
Windsurf — add to Windsurf Settings > MCP:
{ "mcpServers": { "crawlio-browser": { "command": "npx", "args": ["-y", "crawlio-browser"] } } }
Cline (VS Code) — add to settings.json:
{ "cline.mcpServers": { "crawlio-browser": { "command": "npx", "args": ["-y", "crawlio-browser"] } } }
ChatGPT Desktop — Settings > Integrations > MCP: URL: http://127.0.0.1:3001/mcp | Type: Streamable HTTP
AI Client (stdio/http) --> MCP Server (Node.js) --> Chrome Extension (MV3)
crawlio-browser WebSocket -> CDP
The MCP server communicates with the Chrome extension via WebSocket. The extension controls the browser through Chrome DevTools Protocol (CDP).
Every execute call probes the browser for framework signatures and injects a shape-shifting smart object with framework-native accessors. React state, Vue reactivity, Next.js routing, Shopify cart data — 17 framework namespaces across 4 tiers, detected at runtime and rebuilt on every navigation. The AI doesn't query a generic DOM; it queries the framework's own data structures.
Method Mode adds higher-order methods and a typed evidence system on top of Code Mode. smart.extractPage() runs 7 parallel operations in a single call — page capture, performance metrics, security state, font detection, meta extraction, accessibility audit, and mobile-readiness check. Failed operations produce typed CoverageGap records instead of silent nulls. Findings created with smart.finding() get their confidence automatically adjusted when supporting data is missing. The result: structured, auditable research output with gap tracking and confidence propagation.
Record browser interactions as structured data, then compile them into reusable SKILL.md automations. 12 interaction tools are automatically intercepted during recording — clicks, typing, navigation, scrolling — each capturing args, result, timing, and page URL. One compileRecording() call converts the session into a deterministic automation script.
Capture human-guided browser demonstrations as replayable robot-training bundles. The default-mode observe lifecycle starts an event-driven recorder inside the extension; collection keeps running if the MCP process disconnects or restarts. On reconnection, training_stop exports the retained run and materializes the complete 13-file RecordingBundle for replay and API synthesis. Full mode keeps the existing robot_training_* names as compatibility aliases.
Page monitoring is resident for the same reason: an extension-owned background tab and Chrome alarm collect bounded ARIA snapshots while no MCP server is present. Training and monitor history share a 25 MiB local budget, with 20 completed training runs, 50 monitor jobs, 200 snapshots total, and 50 snapshots per monitor as count caps. Old completed data is evicted first; active work is never silently evicted. Work starts only through explicit MCP lifecycle actions; the same actions report status, stop collection, clear monitor snapshots, and—with an exact id plus explicit confirmation—delete a stopped training/recording record from Chrome while preserving its materialized files. The extension popup remains a connection and browser-access status surface. Storage values are keys-only unless the caller explicitly opts in. Monitor snapshots intentionally retain compact ARIA page text locally; starting a monitor should therefore be treated as consent to retain the visible content of that URL until it is cleared.
Every mutative action (click, type, navigate, select_option) runs actionability checks before acting — polling visibility, dimensions, enabled state, and overlay detection. After the action, a progressive backoff settle delay ([0, 20, 100, 100, 500]ms) waits for DOM mutations to quiesce. The AI doesn't need manual sleep() calls between actions.
Any command that acts on a page takes an optional tabId from list_tabs. Omit it and the command runs on the connected tab, exactly as before; supply one and it runs on that tab instead, with the whole command surface available on each. Commands overlap, so two tabs can be driven at the same time:
const [checkout, search] = await Promise.all([
bridge.send({ type: "browser_snapshot", tabId: 42 }), bridge.send({ type: "browser_snapshot", tabId: 57 }), ]);
Targeting a tab never changes which tab connect_tab points at, so an agent working several tabs cannot reassign the one a human is watching. Frame selection, coverage sessions, and framework detection are per tab. Network capture is the exception — it records one tab at a time and says which tab holds it rather than interleaving two.
An extension instance is confined to its own Chrome profile and cannot see any other, so with Crawlio enabled in more than one, commands land in whichever profile connected first. list_profiles shows the profiles that have connected and which is being driven; switch_profile moves the connection to another. One profile is driven at a time — the released extension reconnects in the background, so switching back is immediate.
Profiles identify themselves with a UUID minted into their own extension storage. It distinguishes a profile without describing it: no account, no email, no path, and no additional permission.
Selecting a profile keeps cooperating extensions out of each other's way — it is not a security boundary, since the id is asserted by the extension rather than proved. The b
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